3 AI misconceptions IT leaders must dispel


 Artificial intelligence is rapidly changing many aspects of how we work and live. (How many stories did you read last week about self-driving cars and job-stealing robots? Perhaps your holiday shopping involved some AI algorithms, as well.) But despite the constant flow of news, many misconceptions about AI remain.

AI doesn’t think in our sense of the word at all, Scriffignano explains. “In many ways, it’s not really intelligence. It’s regressive.” 

IT leaders should make deliberate choices about what AI can and can’t do on its own. “You have to pay attention to giving AI autonomy intentionally and not by accident,”


  1. Tomi Engdahl says:

    How New Technology Affects Our Consumption Of Art And Media

    Despite the growth of AI and machine learning in the fields of insurance and business, the one sector where we are not fully exploring new technology’s possibilities is that of art and media. Sure, the potential of streaming media has been explored to a large degree with the availability of films on Netflix and Amazon, but this is just the tip of the iceberg.

    Other forms of digital art have become more popularized with the internet, especially in the realm of graphic design

    In terms of media exposure, the internet has given birth to an entirely new genre of media innovation

  2. Tomi Engdahl says:

    Google “Machine Learning Fairness” Whistleblower Goes Public, says: “burden lifted off of my soul”

    Google Insider Wants More Insiders to Blow Whistle: “people have been waiting for this Google Snowden moment where somebody comes out and explains what everybody already knows to be true”

    “I felt that our entire election system was going to be compromised forever, by this company that told the American public that it was not going to do any evil”

  3. Tomi Engdahl says:

    Artificial Intelligence Has Been Using You. For Years. How Does That Feel?

  4. Tomi Engdahl says:

    Generative Adversarial Networks (GANs) in 50 lines of code (PyTorch)

    tl;dr: GANs are simpler to set up than you think

    Blog by Dev Nag: https://medium.com/@devnag/generative-adversarial-networks-gans-in-50-lines-of-code-pytorch-e81b79659e3f

  5. Tomi Engdahl says:

    3 Easy Ways to Evaluate AI Claims

    IEEE Spectrum asked experts to share their tips for how to identify AI hype in press releases, news articles, research papers, and IPO filings.

    “It can be tricky, because I think the people who are out there selling the AI hype—selling this AI snake oil—are getting more sophisticated over time,” says Tim Hwang, director of the Harvard-MIT Ethics and Governance of AI Initiative.

    “AI has no well-defined meaning and many so-called AI companies are simply trying to take advantage of the buzz around that term,”

    Look for Buzzwords
    One red flag is what Hwang calls the “hype salad.” This means stringing together the term “AI” with many other tech buzzwords such as “blockchain” or “Internet of Things.” That doesn’t automatically disqualify the technology, but spotting a high volume of buzzwords in a post, pitch, or presentation should raise questions about what exactly the company or individual has developed.

  6. Tomi Engdahl says:

    Mobile Facial Recognition Catches Killer After ‘Spotting’ Dead Smartphone User

    Facial recognition has been slammed in the media in recent months, but a story from southeastern China this week provides something different. According to local media reports, a killer accessed a mobile banking app on his victim’s phone in an attempt to steal money—but the facial recognition alerted when it could find no signs of life. The police were then dispatched by staff at the financial institution, and the killer was caught

  7. Tomi Engdahl says:

    Real-Time Voice Cloning

    Clone a voice in 5 seconds to generate arbitrary speech in real-time

    GitHub, by Corentin Jemine : https://github.com/CorentinJ/Real-Time-Voice-Cloning

  8. Tomi Engdahl says:

    this + deepfake videos = video evidence screwed

  9. Tomi Engdahl says:

    Beijing is bringing AI judges to court. The move, proclaimed by China as “the first of its kind in the world”, comes from the Beijing Internet Court, which has launched an online litigation service center featuring an artificially intelligent female judge, with a body, facial expressions, voice, and actions all modeled off a living, breathing human (one of the court’s actual female judges, to be exact).

    China Now Has AI-Powered Judges


  10. Tomi Engdahl says:

    The risks of amoral A.I.

    The consequences of deploying automation without considering ethics could be disastrous

  11. Tomi Engdahl says:

    Flawed Algorithms Are Grading Millions of Students’ Essays

    Fooled by gibberish and highly susceptible to human bias, automated essay-scoring systems are being increasingly adopted, a Motherboard investigation has found

  12. Tomi Engdahl says:

    How Healthcare Is Using Big Data And AI To Cure Disease

    When it comes to medicine there are constant discoveries and advancements in the field. Now with the help of machine learning algorithms, personalized medicine and predictive patient outcome has taken another step towards curing diseases.

  13. Tomi Engdahl says:

    Facebook is using the popular video game Minecraft to help train a new AI assistant that can help with a broad range of human commands.

    Facebook Is Building an AI Assistant Inside Minecraft

    Facebook is using the popular video game Minecraft to help train a new artificially intelligent assistant that, in the future, could help humans perform a wide range of tasks with a broad range of spoken commands.

  14. Tomi Engdahl says:

    Luminar 4 New Feature This Fall: AI Structure

    the new AI Structure tool will allow photographers to add detail and structure only where it is needed. Previously, when adding structure, details, or clarity to images, photographers have been likely to get unpredictable results with very little control

  15. Tomi Engdahl says:

    Machine Learning for Creators?
    Taking the data science out of machine learning

  16. Tomi Engdahl says:

    DeepFaceLab is a tool that utilizes machine learning to replace faces in videos. Includes prebuilt ready to work standalone Windows 7,8,10 binary.


  17. Tomi Engdahl says:

    Experts Want to Give Control of America’s Nuclear Missiles to AI

    If America is attacked with a nuclear bomb, artificial intelligence would automatically fire back even if we are all dead.

  18. Tomi Engdahl says:

    Facebook is making its own deepfakes and offering prizes for detecting them

  19. Tomi Engdahl says:

    Machine learning: go full stack or go home

    Traditional machine learning startups building single tools have the wrong idea. Today, companies need to be full-stack to thrive.

  20. Tomi Engdahl says:

    Industry has grabbed hold of the term AI and bent it in many ways that have nothing to do with the history of artificial intelligence—nor the work of those who practice actual AI.

    Separating AI From The Nonsense

  21. Tomi Engdahl says:

    Novel math could bring machine learning to the next level


  22. Tomi Engdahl says:

    Cerebras reveals world’s ‘largest computer chip’ for AI tasks

  23. Tomi Engdahl says:

    The Big Benchmarking Roundup
    Getting started with machine learning and edge computing

  24. Tomi Engdahl says:

    Justin Sherman / Wired:
    When Cold War analogies are misapplied to emerging technologies like AI, the debate about how such technologies should be regulated gets distorted — Opinion: Politicians and pundits’ fixation with flawed Cold War metaphors have produced overly combative policies on emerging tech.

    Cold War Analogies are Warping Tech Policy

    Opinion: Politicians and pundits’ fixation with flawed Cold War metaphors have produced overly combative policies on emerging tech.

  25. Tomi Engdahl says:

    Why not??? We are doomed anyways.

    Experts Want to Give Control of America’s Nuclear Missiles to AI

    If America is attacked with a nuclear bomb, artificial intelligence would automatically fire back even if we are all dead.

  26. Tomi Engdahl says:

    We need to assess the environmental impact of AI – both good and bad – say experts.

    AI can help us fight climate change. But it has an energy problem, too

    Artificial intelligence (AI) technology can help us fight climate change – but it also comes at a cost to the planet. To truly benefit from the technology’s climate solutions, we also need a better understanding of AI’s growing carbon footprint, say researchers.

    AI’s relevance as a climate change fighting tool comes at a time when there are increasing ethical concerns linked largely to a data-hungry form of the technology called machine learning, where computer systems analyse patterns in existing data to make predictions and decisions. Machine learning applications have raised concerns about creeping public surveillance, intentional misuse, privacy, transparency and data bias that can lead to discrimination and inequality.

    It is part of a wider ethics debate in the EU about how to use AI for the benefit of human beings, the challenges that the technology poses and how best to tackle them.

  27. Tomi Engdahl says:

    Automatic Data Provenance for Your ML Pipeline

    We all understand the importance of reproducibility of machine learning experiments. And we all understand that the basis for reproducibility is tracking every experiment, either manually in a spreadsheet or automatically through a platform such as Valohai. What you can’t track what you’ve done it’s impossible to remember what you did last week, not to mention last year. This complexity is further multiplied with every new team member that joins your company.

  28. Tomi Engdahl says:

    Introducing quantum convolutional neural networks

    Machine learning techniques have so far proved to be very promising for the analysis of data in several fields, with many potential applications. However, researchers have found that applying these methods to quantum physics problems is far more challenging due to the exponential complexity of many-body systems.

  29. Tomi Engdahl says:

    Scientists are using machine learning to unlock the mysteries of long-dead languages

    thanks to machine learning, researchers are deciphering the script of these lesser-known cultures.

    One of ancient Mesopotamia’s most influential civilizations, the Sumerians, gave the world one of the first written languages.

    modern technology has given researchers new hope of unravelling the script imprinted on the roughly 300,000 cuneiform tablets discovered to date, of which only around 10% have been translated so far.

  30. Tomi Engdahl says:

    In this JSConf video, Charlie Gerard discuses building a simple gesture recognition system with JavaScript, Arduino and machine learning.



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